AccScience Publishing / AJWEP / Online First / DOI: 10.36922/AJWEP026320220
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ORIGINAL RESEARCH ARTICLE

Evaluating thyroid transport protein binding activity and structure–activity relationship of hydroxylated polybrominated diphenyl ethers using three-dimensional quantitative structure–activity relationship models

Zihao Shen1 ,  Cong Chen1 ,  Ruobing Du1 ,  Shaoheng Liu1* ,  Wanli You1 ,  Jianjun Tao1
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1 Engineering Research Center of Hunan Province for Recycling Technology of Electroplating Wastewater, Hunan Provincial Key Laboratory of Water Treatment Functional Materials, College of Chemistry and Material Engineering, Hunan University of Arts and Science, Changde, Hunan , China
Received: 9 August 2026 | Revised: 15 September 2026 | Accepted: 23 September 2026 | Published online: 12 October 2026
© 2026 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Polybrominated diphenyl ethers (PBDEs) have become globally significant environmental pollutants because of their persistence, bioaccumulative nature, and potential toxicity. Hydroxylated PBDEs (OH-PBDEs) are environmental thyroid-disrupting chemicals. Their toxicity primarily manifests through competitive binding with thyroid hormone transport proteins, including transthyretin (TTR) and thyroxine-binding globulin (TBG), disrupting the endocrine system. In this study, a three-dimensional quantitative structure–activity relationship (3D-QSAR) model was developed to predict the binding activity of OH-PBDEs. Binding activity data for 14 representative OH-PBDEs (containing 1–6 bromine atoms) against TTR and TBG were selected. 3D-QSAR models were constructed using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA). For TTR, the CoMFA model exhibited the best predictive capability and robustness, with a cross-validated coefficient of Q2 = 0.611, a fitted correlation coefficient of R2 = 0.999, and a standard error of estimate (SEE) of 0.014. The CoMSIA model for TTR yielded Q2 = 0.502, R2 = 0.999, and SEE = 0.017. For TBG, all models yielded Q2 < 0.5. This indicates insufficient predictive ability and was therefore not used for subsequent prediction. Field contribution analysis identified electrostatic field as the predominant factor governing binding activity (contribution rate: 65.4% in CoMFA). Using the optimal TTR-CoMFA model, the activities of 40 OH-PBDE isomers were predicted. T3 and T4 were used separately as endogenous reference ligands (predicted pIC50 = 7.573 and 7.921, respectively) and were not included in the OH-PBDE ranking. Among the predicted OH-PBDEs, OH-BDE-085 and OH-BDE-154 showed higher activity than T4, whereas OH-BDE-003 and OH-BDE-007 showed lower activity than T3. The remaining OH-PBDEs fell between T3 and T4. These results indicate that, within the range of 1–6 bromine atoms and under specific substitution patterns, increasing bromination generally enhances TTR binding activity. This study provides an efficient computational tool for the rapid screening of high-risk OH-PBDE congeners, establishing a scientific basis for environmental health risk assessment.

Keywords
Hydroxylated polybrominated diphenyl ethers
Three dimensional quantitative structure–activity relationship
Comparative molecular field analysis
Thyroid transport protein
Transthyretin
Funding
This work was supported by the National Natural Science Foundation of China (Grant No. 51909090, 52500077) and the Science and Technology Innovation Program of Hunan Province, China (Grant No. 2022RC1131, 2025RC3209).
Conflict of interest
The authors declare they have no competing interests.
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Asian Journal of Water, Environment and Pollution, Electronic ISSN: 1875-8568 Print ISSN: 0972-9860, Published by AccScience Publishing